John Jumper
Impact in
- Molecular Biology top 1%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Health Informatics top 2%
Papers in
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- Protein Structure and Dynamics 12
- RNA and protein synthesis mechanisms 5
- Glycosylation and Glycoproteins Research 3
- Machine Learning in Bioinformatics 3
- Lipid Membrane Structure and Behavior 2
- Ubiquitin and proteasome pathways 1
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- Enzyme Structure and Function 9
- Co-authors
- Demis Hassabis (7 shared papers)Pushmeet Kohli (6 shared papers)Andrew Senior (5 shared papers)Michael P. Eastwood (3 shared papers)David E. Shaw (3 shared papers)Yibing Shan (2 shared papers)Ron O. Dror (2 shared papers)Paul Maragakis (1 shared paper)
- Journals
- Nature Communications (3 papers)Science (3 papers)Biophysical Journal (3 papers)Nature Methods (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
John Jumper
24 papers receiving 5.9k citations
John Jumper's Hit Papers
Peers
Comparison fields: 5 of 187
- Molecular Biology 4.1k
- Health Informatics 74
- Computational Theory and Mathematics 590
- Structural Biology 49
- Materials Chemistry 1.2k
Countries citing papers authored by John Jumper
This map shows the geographic impact of John Jumper's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Jumper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Jumper more than expected).
Fields of papers citing papers by John Jumper
This network shows the impact of papers produced by John Jumper. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Jumper. The network helps show where John Jumper may publish in the future.
Co-authors
The 25 scholars most cited alongside John Jumper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improved protein structure prediction using potentials from deep learning Hit paper breakdown → | 2020 | 2100 |
| 2 | Atomic-Level Characterization of the Structural Dynamics of Proteins Hit paper breakdown → | 2010 | 1433 |
| 3 | Accurate proteome-wide missense variant effect prediction with AlphaMissense Hit paper breakdown → | 2023 | 799 |
| 4 | Effective gene expression prediction from sequence by integrating long-range interactions Hit paper breakdown → | 2021 | 541 |
| 5 | Oncogenic Mutations Counteract Intrinsic Disorder in the EGFR Kinase and Promote Receptor Dimerization Hit paper breakdown → | 2012 | 282 |
| 6 | Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) Hit paper breakdown → | 2019 | 213 |
| 7 | Protein structure predictions to atomic accuracy with AlphaFold Hit paper breakdown → | 2022 | 167 |
| 8 | 2017 | 161 | |
| 9 | 2014 | 100 | |
| 10 | 2015 | 38 | |
| 11 | 2018 | 30 | |
| 12 | 2018 | 30 | |
| 13 | 2022 | 28 | |
| 14 | 2022 | 21 | |
| 15 | 2013 | 17 | |
| 16 | 2022 | 12 | |
| 17 | 2019 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2022 | 4 |
About John Jumper
John Jumper is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Cell Biology and Genetics, having authored 24 papers that have together received 6.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (9 papers), RNA and protein synthesis mechanisms (5 papers), Glycosylation and Glycoproteins Research (3 papers), Force Microscopy Techniques and Applications (3 papers), Machine Learning in Bioinformatics (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (4.1k citations), Health Informatics (74 citations), Computational Theory and Mathematics (590 citations), Structural Biology (49 citations) and Materials Chemistry (1.2k citations). John Jumper has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Demis Hassabis, Pushmeet Kohli, Andrew Senior, Michael P. Eastwood, David E. Shaw, Yibing Shan, Ron O. Dror, Paul Maragakis, Kresten Lindorff‐Larsen and Joseph A. Bank. Their work appears in journals such as Nature Communications, Science, Biophysical Journal, Nature Methods and PLoS Computational Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.